End of training

README.md

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5431
-- Accuracy: 0.746
-- F1: 0.8173
+- Loss: 0.5501
+- Accuracy: 0.75
+- F1: 0.8156
 
 ## Model description
 
@@ -40,19 +40,20 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-06
-- train_batch_size: 4
-- eval_batch_size: 4
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 2
+- num_epochs: 3
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.619         | 1.0   | 1502 | 0.5734          | 0.734    | 0.8166 |
-| 0.586         | 2.0   | 3004 | 0.5431          | 0.746    | 0.8173 |
+| 0.6338        | 1.0   | 751  | 0.5527          | 0.744    | 0.8215 |
+| 0.5734        | 2.0   | 1502 | 0.5396          | 0.746    | 0.8188 |
+| 0.5183        | 3.0   | 2253 | 0.5501          | 0.75     | 0.8156 |
 
 
 ### Framework versions

pytorch_model.bin

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runs/Jul22_12-08-23_c315cb4258b9/events.out.tfevents.1690028069.c315cb4258b9.847.0

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